Nariman Farsad

2.6k citations
58 papers · 1.5k indexed · h-index 20

Nariman Farsad

58 papers receiving 1.5k citations

Peers

Nariman Farsad
Comparison fields: 5 of 67
  • Biomedical Engineering 1.2k
  • Molecular Biology 826
  • Electrical and Electronic Engineering 608
  • Artificial Intelligence 208
  • Cellular and Molecular Neuroscience 99
Replace H. Birkan Yilmaz with:
H. Birkan Yilmaz Türkiye
B.A. Minch United States
Masoumeh Nasiri‐Kenari Iran
Barış Atakan Türkiye
Marco Lanuzza Italy
R. Zebulum United States
Klaus‐Peter Zauner United Kingdom
Moein Khajehnejad United States
Pål Anders Floor Norway
S. Muñoz Spain
Nariman Farsad relative to H. Birkan Yilmaz Türkiye H. Birkan Yilmaz's profile →
Citations per field
00.5×3.0×
H. Birkan Yilmaz · 1×
Citations per year

Countries citing papers authored by Nariman Farsad

Since Specialization
Citations

This map shows the geographic impact of Nariman Farsad's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nariman Farsad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nariman Farsad more than expected).

Fields of papers citing papers by Nariman Farsad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nariman Farsad. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nariman Farsad. The network helps show where Nariman Farsad may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Nariman Farsad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nariman Farsad Line = papers co-authored together Nariman Farsad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202315
2 20221
3 20219
4 201937
5 201810
6 201832
7 201810
8 20188
9 201712
10 20178
11 2016142
12 20162
13 201533
14 20159
15 201426
16 2013186
17
Channel design and optimization of active transport molecular communication
20122
18 201275
19 20122
20 201114

About Nariman Farsad

Nariman Farsad is a scholar working on Biomedical Engineering, Molecular Biology and Developmental Biology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Molecular Communication and Nanonetworks (45 papers), Wireless Body Area Networks (37 papers), Advanced biosensing and bioanalysis techniques (31 papers), Energy Harvesting in Wireless Networks (13 papers), Wireless Communication Security Techniques (4 papers), EEG and Brain-Computer Interfaces (4 papers), Gene Regulatory Network Analysis (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Biomedical Engineering (1.2k citations), Molecular Biology (826 citations) and Electrical and Electronic Engineering (608 citations). Nariman Farsad has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Andrew W. Eckford, Andrea Goldsmith, Weisi Guo, Chan‐Byoung Chae, Satoshi Hiyama, H. Birkan Yilmaz, Yuki Moritani, Changmin Lee, Na‐Rae Kim and Vahid Jamali. Their work appears in journals such as PLoS ONE, IEEE Transactions on Signal Processing and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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